actian - Corporation - Head of Data Intelligence Products [gn] Data Intelligence Platform
Requirements
• Experience: 10+ years in Product Management, with at least 4 years in a leadership role managing other PMs. • Domain Expertise: Deep, hands-on experience in the Modern Data Stack (Data Catalog, Governance, Data Mesh, or Data Quality). • Technical Savvy: You are "technically dangerous." You understand the mechanics of AI/ML, LLMs, and how AI agents can automate metadata extraction and user interaction. • The "Hybrid" DNA: You have successfully navigated both the agility of a startup (like Zeenea) and the complex stakeholders of a global corporate entity (like Actian/HCL). • Strategic Execution: Proven track record of taking a high-level vision from a CPO/CPTO and decomposing it into actionable, technical milestones for engineering squads. • Global Mindset: Experience managing distributed teams across different time zones (US West Coast to Central Europe) and cultural nuances. • Communication: Exceptional English proficiency. You can simplify complex technical "black boxes" into compelling value propositions for the C-suite.
Responsibilities
• Vision & Strategy: Define and execute the roadmap for the Data Intelligence Platform, in close relationship with Actian CPO, moving beyond traditional metadata management into AI-native Data Products and Agentic Governance. • Leadership: Manage and mentor a high-performing team of 5–8 Product Managers across Europe and the US, fostering a culture of technical excellence and rapid delivery. • The AI Frontier: Oversee the development of AI Agents that interact with data products, enabling conversational discovery and proactive data governance for CDOs. • Analyst Influence: Own the relationship with industry analysts (Gartner, Forrester). Your goal is to position Actian as a leader in Data Management and Governance categories. • Engineering Partnership: Work hand-in-hand with the SVP of Product Engineering. You must be able to "speak engineer," understanding AI-driven development workflows and cloud-native architecture. • CDO Engagement: Act as the face of the product for Chief Data Officers and Data Governance leaders, helping them modernize their data stacks and transition from legacy systems to a unified AI-driven platform.
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